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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data bias?
💡 Hint: Think about how your background can influence your understanding.
Question 2
Easy
Give an example of how data bias can occur in hiring.
💡 Hint: Consider what kind of job applications are out there.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does data bias mean?
- AI is always accurate
- AI can reflect societal biases
- Data is always unbiased
💡 Hint: Think of examples where this could go wrong.
Question 2
True or False: Data diversity can lessen AI bias.
- True
- False
💡 Hint: Remember how different views can affect conclusions.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a financial AI tool that suggests loans but is trained on data from a predominantly wealthy demographic. What bias might be present, and how would this affect outcomes for borrowers from different backgrounds?
💡 Hint: Think of societal impact and systemic issues.
Question 2
Examine the role of transparency in AI usage. How can companies implement transparency principles to address data bias in their AI systems?
💡 Hint: Consider existing frameworks and reporting standards.
Challenge and get performance evaluation